Ambient Sensor Location Change Detection
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Solution Overview
Problem
Existing computing devices face challenges in accurately determining location changes using ambient sensors, as they rely solely on GPS data, which may not be comprehensive or efficient, especially in complex environments where multiple sensor data integration is needed.
Innovation Solution
A system and method that utilizes a computing device configured to gather data from multiple ambient sensors such as light, temperature, and humidity sensors to determine location changes by calculating a probability value based on the combined contextual data, allowing for more accurate location change detection even in low power states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS sensor is used to determine location changes, then location data can be gathered, but power consumption increases and processing overhead increases
Solution Approach 1:
The patent introduces ambient sensors (light, temperature, humidity) as intermediary elements that indirectly indicate location changes. Instead of directly using GPS to detect location, the system uses environmental sensors to detect changes in ambient conditions that correlate with location changes, thereby reducing GPS usage and power consumption while maintaining detection capability
Solution Approach 2:
The patent replaces the mechanical/GPS-based location detection system with an environmental sensing system. By substituting direct GPS measurements with indirect environmental parameter measurements (light intensity, temperature, humidity), the system achieves location change detection with lower power consumption and processing requirements
2Measurement precision
If GPS sensor is used to determine location changes, then location data can be gathered, but device complexity increases
Solution Approach 1:
The patent makes existing ambient sensors serve multiple functions. Sensors originally designed for other purposes (light sensing for display adjustment, temperature sensing for thermal management) are repurposed to also detect location changes, thereby adding location detection capability without increasing device complexity or requiring dedicated GPS hardware in all scenarios
Solution Approach 2:
The patent creates a virtual model of the physical environment by copying environmental parameters (light, temperature, humidity) into digital data that can be analyzed for location changes. This virtual representation allows location detection without direct physical GPS measurement, simplifying the hardware requirements
3Measurement precision
If multiple ambient sensors are integrated to detect location changes, then detection accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent applies partial action by not requiring all sensors to be active simultaneously or at full capacity. The system can use subsets of sensors based on current needs, or use sensors at different thresholds of precision, thereby reducing processing complexity while maintaining adequate detection accuracy through selective sensor activation and data sampling
Data Source
AI summary
A method for determining a location change based on contextual data is disclosed. The method may include gathering contextual data from ambient sensors of a device. The method may include determining a probability value that the device has changed location. The method may include comparing the probability value with a predetermined value. The method may include determining whether the location has changed based on the comparison of the probability value with the predetermined value.